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Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer

Approximately 30% of breast cancer (BC) patients suffer from disease relapse after definitive treatment. Monitoring BC at baseline and disease progression using comprehensive genomic profiling would facilitate the prediction of prognosis. We retrospectively studied 101 BC patients ultimately experie...

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Autores principales: Zhang, Lanxin, Sun, Siwen, Zhao, Xiaotian, Liu, Jingwen, Xu, Yang, Xu, Lingzhi, Song, Chen, Li, Na, Yu, Jing, Zhao, Shanshan, Yu, Peiyao, Fang, Fengqi, Xie, Jiping, Ji, Xuening, Yu, Ruoying, Ou, Qiuxiang, Zhao, Zuowei, Li, Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580879/
https://www.ncbi.nlm.nih.gov/pubmed/35971249
http://dx.doi.org/10.1002/1878-0261.13297
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author Zhang, Lanxin
Sun, Siwen
Zhao, Xiaotian
Liu, Jingwen
Xu, Yang
Xu, Lingzhi
Song, Chen
Li, Na
Yu, Jing
Zhao, Shanshan
Yu, Peiyao
Fang, Fengqi
Xie, Jiping
Ji, Xuening
Yu, Ruoying
Ou, Qiuxiang
Zhao, Zuowei
Li, Man
author_facet Zhang, Lanxin
Sun, Siwen
Zhao, Xiaotian
Liu, Jingwen
Xu, Yang
Xu, Lingzhi
Song, Chen
Li, Na
Yu, Jing
Zhao, Shanshan
Yu, Peiyao
Fang, Fengqi
Xie, Jiping
Ji, Xuening
Yu, Ruoying
Ou, Qiuxiang
Zhao, Zuowei
Li, Man
author_sort Zhang, Lanxin
collection PubMed
description Approximately 30% of breast cancer (BC) patients suffer from disease relapse after definitive treatment. Monitoring BC at baseline and disease progression using comprehensive genomic profiling would facilitate the prediction of prognosis. We retrospectively studied 101 BC patients ultimately experiencing relapse and/or metastases. The baseline and circulating tumor DNA‐monitoring cohorts included patients with baseline tumor tissue and serial plasma samples, respectively. Samples were analyzed with targeted next‐generation sequencing of 425 cancer‐relevant genes. Of 35 patients in the baseline cohort, patients with TP53 mutations (P < 0.01), or CTCF/GNAS mutations (P < 0.01) displayed inferior disease‐free survival, and patients harboring TP53 (P = 0.06) or NOTCH1 (P = 0.06) mutations showed relatively poor overall survival (OS), compared to patients with wild‐type counterparts. Of the 59 patients with serial plasma samples, 11 patients who were newly detected with TP53 mutations had worse OS than patients whose TP53 mutational status remained negative (P < 0.01). These results indicate that an inferior prognosis of advanced breast cancer was potentially associated with baseline TP53, CTCF, and NOTCH1 alterations. Newly identified TP53 mutations after relapse and/or metastasis was another potential prognostic biomarker of poor prognosis.
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spelling pubmed-95808792022-10-20 Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer Zhang, Lanxin Sun, Siwen Zhao, Xiaotian Liu, Jingwen Xu, Yang Xu, Lingzhi Song, Chen Li, Na Yu, Jing Zhao, Shanshan Yu, Peiyao Fang, Fengqi Xie, Jiping Ji, Xuening Yu, Ruoying Ou, Qiuxiang Zhao, Zuowei Li, Man Mol Oncol Research Articles Approximately 30% of breast cancer (BC) patients suffer from disease relapse after definitive treatment. Monitoring BC at baseline and disease progression using comprehensive genomic profiling would facilitate the prediction of prognosis. We retrospectively studied 101 BC patients ultimately experiencing relapse and/or metastases. The baseline and circulating tumor DNA‐monitoring cohorts included patients with baseline tumor tissue and serial plasma samples, respectively. Samples were analyzed with targeted next‐generation sequencing of 425 cancer‐relevant genes. Of 35 patients in the baseline cohort, patients with TP53 mutations (P < 0.01), or CTCF/GNAS mutations (P < 0.01) displayed inferior disease‐free survival, and patients harboring TP53 (P = 0.06) or NOTCH1 (P = 0.06) mutations showed relatively poor overall survival (OS), compared to patients with wild‐type counterparts. Of the 59 patients with serial plasma samples, 11 patients who were newly detected with TP53 mutations had worse OS than patients whose TP53 mutational status remained negative (P < 0.01). These results indicate that an inferior prognosis of advanced breast cancer was potentially associated with baseline TP53, CTCF, and NOTCH1 alterations. Newly identified TP53 mutations after relapse and/or metastasis was another potential prognostic biomarker of poor prognosis. John Wiley and Sons Inc. 2022-08-15 2022-10 /pmc/articles/PMC9580879/ /pubmed/35971249 http://dx.doi.org/10.1002/1878-0261.13297 Text en © 2022 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhang, Lanxin
Sun, Siwen
Zhao, Xiaotian
Liu, Jingwen
Xu, Yang
Xu, Lingzhi
Song, Chen
Li, Na
Yu, Jing
Zhao, Shanshan
Yu, Peiyao
Fang, Fengqi
Xie, Jiping
Ji, Xuening
Yu, Ruoying
Ou, Qiuxiang
Zhao, Zuowei
Li, Man
Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title_full Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title_fullStr Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title_full_unstemmed Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title_short Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer
title_sort prognostic value of baseline genetic features and newly identified tp53 mutations in advanced breast cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580879/
https://www.ncbi.nlm.nih.gov/pubmed/35971249
http://dx.doi.org/10.1002/1878-0261.13297
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